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Volume 8 Issue 10
Oct.  2021

IEEE/CAA Journal of Automatica Sinica

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Xianggui Guo, Dongyu Zhang, Jianliang Wang and Choon Ki Ahn, "Adaptive Memory Event-Triggered Observer-Based Control for Nonlinear Multi-Agent Systems Under DoS Attacks," IEEE/CAA J. Autom. Sinica, vol. 8, no. 10, pp. 1644-1656, Oct. 2021. doi: 10.1109/JAS.2021.1004132
Citation: Xianggui Guo, Dongyu Zhang, Jianliang Wang and Choon Ki Ahn, "Adaptive Memory Event-Triggered Observer-Based Control for Nonlinear Multi-Agent Systems Under DoS Attacks," IEEE/CAA J. Autom. Sinica, vol. 8, no. 10, pp. 1644-1656, Oct. 2021. doi: 10.1109/JAS.2021.1004132

Adaptive Memory Event-Triggered Observer-Based Control for Nonlinear Multi-Agent Systems Under DoS Attacks

doi: 10.1109/JAS.2021.1004132
Funds:  This work was supported by the National Natural Science Foundation of China (61773056), the Scientific and Technological Innovation Foundation of Shunde Graduate School, University of Science and Technology Beijing (USTB) (BK19AE018), and the Fundamental Research Funds for the Central Universities of USTB (FRF-TP-20-09B, 230201606500061, FRF-DF-20-35, FRF-BD-19-002A). The work of J. L. Wang was supported by Zhejiang Natural Science Foundation (LD21F030001). The work of C. K. Ahn was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (Ministry of Science and Information and Communications Technology) (NRF-2020R1A2C1005449)
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  • This paper investigates the event-triggered security consensus problem for nonlinear multi-agent systems (MASs) under denial-of-service (DoS) attacks over an undirected graph. A novel adaptive memory observer-based anti-disturbance control scheme is presented to improve the observer accuracy by adding a buffer for the system output measurements. Meanwhile, this control scheme can also provide more reasonable control signals when DoS attacks occur. To save network resources, an adaptive memory event-triggered mechanism (AMETM) is also proposed and Zeno behavior is excluded. It is worth mentioning that the AMETM’s updates do not require global information. Then, the observer and controller gains are obtained by using the linear matrix inequality (LMI) technique. Finally, simulation examples show the effectiveness of the proposed control scheme.

     

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    Highlights

    • Taking into account the effects of DoS attacks and external disturbance, a state observer is designed to remove the assumption that the states of the agent are measurable. Meanwhile, by embedding a buffer in the state observer, the state of the previous moment can be stored; thus, the observer accuracy can be improved in the presence of DoS attacks, which can provide a more reasonable control signal.
    • A distribute adaptive memory event-triggered mechanism is designed, which does not need global information when updating, thus reducing the communication burden. The existence of the buffer allows us to dynamically adjust the number of trigger points to improve system performance and reduce the occurrence of error triggered events caused by sudden changes due to erroneous measurements.
    • Compensation mechanism for observer and controller: Different from the previous results that using disturbance observer based on state feedback control technique to resist disturbance, this method can effectively reduce the difficulty caused by unmeasurable state and improve observer performance. In addition, the consensus performance of the system can also be improved.

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